Results 141 to 150 of about 30,090 (266)

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Impact of Extrusion and Direct Calendering on Dry‐Coated Cathodes for Sulfidic All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work demonstrates a parameter optimization for a scalable dry coating process of sulfidic ASSB cathodes (82 wt% CAM, 0.5 wt% PTFE binder) in dry room atmosphere. High‐shear extruder mixing and calendering are used to form a cathode film based on PTFE fibrillation.
Michael Wolf   +9 more
wiley   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang   +4 more
wiley   +1 more source

Local Electricity Markets

open access: yes, 2017
This master thesis has as an objective the development of an electricity market. It is a research project that aims to be the foundation for a bigger and more thorough analysis. It examines the implementation of a local electricity market in a residential network equipped with renewable generation and storage technologies.
openaire   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

open access: yesAdvanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan   +12 more
wiley   +1 more source

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